Difference between revisions of "Group Reading W17"
From courses
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01/30 | 01/30 | ||
| − | * Value Iteration Networks (NIPS 2016 Best Paper Award), Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, and Pieter Abbeel, https://papers.nips.cc/paper/6046-value-iteration-networks.pdf | + | * Thien: Value Iteration Networks (NIPS 2016 Best Paper Award), Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, and Pieter Abbeel, https://papers.nips.cc/paper/6046-value-iteration-networks.pdf |
| − | * Training Very Deep Networks, Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber, https://arxiv.org/abs/1507.06228 | + | * William: Training Very Deep Networks, Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber, https://arxiv.org/abs/1507.06228 |
Revision as of 10:42, 26 January 2017
01/23:
- Daniel: A JOINT MANY-TASK MODEL: GROWING A NEURAL NETWORK FOR MULTIPLE NLP TASKS, Kazuma Hashimoto∗ , Caiming Xiong† , Yoshimasa Tsuruoka & Richard Socher, https://openreview.net/pdf?id=SJZAb5cel
- Tyler: DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING, Caiming Xiong∗ , Victor Zhong∗ , Richard Socher, https://openreview.net/pdf?id=rJeKjwvclx
01/30
- Thien: Value Iteration Networks (NIPS 2016 Best Paper Award), Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, and Pieter Abbeel, https://papers.nips.cc/paper/6046-value-iteration-networks.pdf
- William: Training Very Deep Networks, Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber, https://arxiv.org/abs/1507.06228
